893 lines
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893 lines
44 KiB
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<a href="#pub-methods">Public Member Functions</a> |
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<div class="title">mlpack::nn::SparseAutoencoderFunction Class Reference</div> </div>
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<p>This is a class for the sparse autoencoder objective function.
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<a href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#details">More...</a></p>
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<table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
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Public Member Functions</h2></td></tr>
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<tr class="memitem:ac4e1e2d010199ffec31441a6649f2441"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#ac4e1e2d010199ffec31441a6649f2441">SparseAutoencoderFunction</a> (const arma::mat &<a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a92c4fa02c4f73458da18997ae99bb266">data</a>, const size_t <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a7cc85a163755fcdd9f7ab105ce5ee1a7">visibleSize</a>, const size_t <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a9e486091967e75767f3e4c31aab838f6">hiddenSize</a>, const double <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a265662d7e4cc5b9b11d01f96ffa34dfb">lambda</a>=0.0001, const double <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a3f3dde80bd9f6d86b131de5c7b8873a8">beta</a>=3, const double <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a9afee0f01482da62e7fb812103e809d0">rho</a>=0.01)</td></tr>
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<tr class="memdesc:ac4e1e2d010199ffec31441a6649f2441"><td class="mdescLeft"> </td><td class="mdescRight">Construct the sparse autoencoder objective function with the given parameters. <a href="#ac4e1e2d010199ffec31441a6649f2441">More...</a><br /></td></tr>
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<tr class="separator:ac4e1e2d010199ffec31441a6649f2441"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a59d3cac3141fc927436298424900a16a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a59d3cac3141fc927436298424900a16a">Beta</a> (const double b)</td></tr>
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<tr class="memdesc:a59d3cac3141fc927436298424900a16a"><td class="mdescLeft"> </td><td class="mdescRight">Sets the KL divergence parameter. <a href="#a59d3cac3141fc927436298424900a16a">More...</a><br /></td></tr>
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<tr class="separator:a59d3cac3141fc927436298424900a16a"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a89273ef718ac04f7ecfbf7bd8b784f73"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a89273ef718ac04f7ecfbf7bd8b784f73">Beta</a> () const </td></tr>
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<tr class="memdesc:a89273ef718ac04f7ecfbf7bd8b784f73"><td class="mdescLeft"> </td><td class="mdescRight">Gets the KL divergence parameter. <a href="#a89273ef718ac04f7ecfbf7bd8b784f73">More...</a><br /></td></tr>
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<tr class="separator:a89273ef718ac04f7ecfbf7bd8b784f73"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a61d91a61e414f422ad6316c460361745"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a61d91a61e414f422ad6316c460361745">Evaluate</a> (const arma::mat &parameters) const </td></tr>
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<tr class="memdesc:a61d91a61e414f422ad6316c460361745"><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the objective function of the sparse autoencoder model using the given parameters. <a href="#a61d91a61e414f422ad6316c460361745">More...</a><br /></td></tr>
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<tr class="separator:a61d91a61e414f422ad6316c460361745"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:aeef74bf38bfdb6cb48f6f182f4918d60"><td class="memItemLeft" align="right" valign="top">const arma::mat & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#aeef74bf38bfdb6cb48f6f182f4918d60">GetInitialPoint</a> () const </td></tr>
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<tr class="memdesc:aeef74bf38bfdb6cb48f6f182f4918d60"><td class="mdescLeft"> </td><td class="mdescRight">Return the initial point for the optimization. <a href="#aeef74bf38bfdb6cb48f6f182f4918d60">More...</a><br /></td></tr>
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<tr class="separator:aeef74bf38bfdb6cb48f6f182f4918d60"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac9308a0b499a8754cd2efeca6e499992"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#ac9308a0b499a8754cd2efeca6e499992">Gradient</a> (const arma::mat &parameters, arma::mat &gradient) const </td></tr>
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<tr class="memdesc:ac9308a0b499a8754cd2efeca6e499992"><td class="mdescLeft"> </td><td class="mdescRight">Evaluates the gradient values of the objective function given the current set of parameters. <a href="#ac9308a0b499a8754cd2efeca6e499992">More...</a><br /></td></tr>
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<tr class="separator:ac9308a0b499a8754cd2efeca6e499992"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a136a92c1a864818176476ea02fa05c34"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a136a92c1a864818176476ea02fa05c34">HiddenSize</a> (const size_t hidden)</td></tr>
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<tr class="memdesc:a136a92c1a864818176476ea02fa05c34"><td class="mdescLeft"> </td><td class="mdescRight">Sets size of the hidden layer. <a href="#a136a92c1a864818176476ea02fa05c34">More...</a><br /></td></tr>
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<tr class="separator:a136a92c1a864818176476ea02fa05c34"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a1017c39355421a41c588b118a711ef89"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a1017c39355421a41c588b118a711ef89">HiddenSize</a> () const </td></tr>
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<tr class="memdesc:a1017c39355421a41c588b118a711ef89"><td class="mdescLeft"> </td><td class="mdescRight">Gets the size of the hidden layer. <a href="#a1017c39355421a41c588b118a711ef89">More...</a><br /></td></tr>
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<tr class="separator:a1017c39355421a41c588b118a711ef89"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:ac6dbc2870e997c55c9e779d643738bee"><td class="memItemLeft" align="right" valign="top">const arma::mat </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#ac6dbc2870e997c55c9e779d643738bee">InitializeWeights</a> ()</td></tr>
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<tr class="memdesc:ac6dbc2870e997c55c9e779d643738bee"><td class="mdescLeft"> </td><td class="mdescRight">Initializes the parameters of the model to suitable values. <a href="#ac6dbc2870e997c55c9e779d643738bee">More...</a><br /></td></tr>
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<tr class="separator:ac6dbc2870e997c55c9e779d643738bee"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a732d5a82a16e1338f985992126e30254"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a732d5a82a16e1338f985992126e30254">Lambda</a> (const double l)</td></tr>
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<tr class="memdesc:a732d5a82a16e1338f985992126e30254"><td class="mdescLeft"> </td><td class="mdescRight">Sets the L2-regularization parameter. <a href="#a732d5a82a16e1338f985992126e30254">More...</a><br /></td></tr>
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<tr class="separator:a732d5a82a16e1338f985992126e30254"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a6cf88c7fecd025952b3e066efaab7e7e"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a6cf88c7fecd025952b3e066efaab7e7e">Lambda</a> () const </td></tr>
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<tr class="memdesc:a6cf88c7fecd025952b3e066efaab7e7e"><td class="mdescLeft"> </td><td class="mdescRight">Gets the L2-regularization parameter. <a href="#a6cf88c7fecd025952b3e066efaab7e7e">More...</a><br /></td></tr>
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<tr class="separator:a6cf88c7fecd025952b3e066efaab7e7e"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a259127347c3809ab3857af6afade4979"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a259127347c3809ab3857af6afade4979">Rho</a> (const double r)</td></tr>
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<tr class="memdesc:a259127347c3809ab3857af6afade4979"><td class="mdescLeft"> </td><td class="mdescRight">Sets the sparsity parameter. <a href="#a259127347c3809ab3857af6afade4979">More...</a><br /></td></tr>
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<tr class="separator:a259127347c3809ab3857af6afade4979"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a79a7a23677578e239fee4b49ab3745ed"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a79a7a23677578e239fee4b49ab3745ed">Rho</a> () const </td></tr>
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<tr class="memdesc:a79a7a23677578e239fee4b49ab3745ed"><td class="mdescLeft"> </td><td class="mdescRight">Gets the sparsity parameter. <a href="#a79a7a23677578e239fee4b49ab3745ed">More...</a><br /></td></tr>
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<tr class="separator:a79a7a23677578e239fee4b49ab3745ed"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:adadb0e8dd4f2d1c3153e1fe07169608e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#adadb0e8dd4f2d1c3153e1fe07169608e">Sigmoid</a> (const arma::mat &x, arma::mat &output) const </td></tr>
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<tr class="memdesc:adadb0e8dd4f2d1c3153e1fe07169608e"><td class="mdescLeft"> </td><td class="mdescRight">Returns the elementwise sigmoid of the passed matrix, where the sigmoid function of a real number 'x' is [1 / (1 + exp(-x))]. <a href="#adadb0e8dd4f2d1c3153e1fe07169608e">More...</a><br /></td></tr>
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<tr class="separator:adadb0e8dd4f2d1c3153e1fe07169608e"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a95a722dfc72661c0c364c71d2bbe0c9d"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a95a722dfc72661c0c364c71d2bbe0c9d">VisibleSize</a> (const size_t visible)</td></tr>
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<tr class="memdesc:a95a722dfc72661c0c364c71d2bbe0c9d"><td class="mdescLeft"> </td><td class="mdescRight">Sets size of the visible layer. <a href="#a95a722dfc72661c0c364c71d2bbe0c9d">More...</a><br /></td></tr>
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<tr class="separator:a95a722dfc72661c0c364c71d2bbe0c9d"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a0dff953045fe4e6c02f9c4c786e61acc"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a0dff953045fe4e6c02f9c4c786e61acc">VisibleSize</a> () const </td></tr>
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<tr class="memdesc:a0dff953045fe4e6c02f9c4c786e61acc"><td class="mdescLeft"> </td><td class="mdescRight">Gets size of the visible layer. <a href="#a0dff953045fe4e6c02f9c4c786e61acc">More...</a><br /></td></tr>
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<tr class="separator:a0dff953045fe4e6c02f9c4c786e61acc"><td class="memSeparator" colspan="2"> </td></tr>
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</table><table class="memberdecls">
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-attribs"></a>
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Private Attributes</h2></td></tr>
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<tr class="memitem:a3f3dde80bd9f6d86b131de5c7b8873a8"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a3f3dde80bd9f6d86b131de5c7b8873a8">beta</a></td></tr>
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<tr class="memdesc:a3f3dde80bd9f6d86b131de5c7b8873a8"><td class="mdescLeft"> </td><td class="mdescRight">KL divergence parameter. <a href="#a3f3dde80bd9f6d86b131de5c7b8873a8">More...</a><br /></td></tr>
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<tr class="separator:a3f3dde80bd9f6d86b131de5c7b8873a8"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a92c4fa02c4f73458da18997ae99bb266"><td class="memItemLeft" align="right" valign="top">const arma::mat & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a92c4fa02c4f73458da18997ae99bb266">data</a></td></tr>
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<tr class="memdesc:a92c4fa02c4f73458da18997ae99bb266"><td class="mdescLeft"> </td><td class="mdescRight">The matrix of data points. <a href="#a92c4fa02c4f73458da18997ae99bb266">More...</a><br /></td></tr>
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<tr class="separator:a92c4fa02c4f73458da18997ae99bb266"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a9e486091967e75767f3e4c31aab838f6"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a9e486091967e75767f3e4c31aab838f6">hiddenSize</a></td></tr>
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<tr class="memdesc:a9e486091967e75767f3e4c31aab838f6"><td class="mdescLeft"> </td><td class="mdescRight">Size of the hidden layer. <a href="#a9e486091967e75767f3e4c31aab838f6">More...</a><br /></td></tr>
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<tr class="separator:a9e486091967e75767f3e4c31aab838f6"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="memitem:a915ad80131a89c5dacc0829b5fb050c2"><td class="memItemLeft" align="right" valign="top">arma::mat </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a915ad80131a89c5dacc0829b5fb050c2">initialPoint</a></td></tr>
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<tr class="memdesc:a915ad80131a89c5dacc0829b5fb050c2"><td class="mdescLeft"> </td><td class="mdescRight">Initial parameter vector. <a href="#a915ad80131a89c5dacc0829b5fb050c2">More...</a><br /></td></tr>
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<tr class="memitem:a265662d7e4cc5b9b11d01f96ffa34dfb"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a265662d7e4cc5b9b11d01f96ffa34dfb">lambda</a></td></tr>
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<tr class="memdesc:a265662d7e4cc5b9b11d01f96ffa34dfb"><td class="mdescLeft"> </td><td class="mdescRight">L2-regularization parameter. <a href="#a265662d7e4cc5b9b11d01f96ffa34dfb">More...</a><br /></td></tr>
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<tr class="memitem:a9afee0f01482da62e7fb812103e809d0"><td class="memItemLeft" align="right" valign="top">double </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a9afee0f01482da62e7fb812103e809d0">rho</a></td></tr>
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<tr class="memdesc:a9afee0f01482da62e7fb812103e809d0"><td class="mdescLeft"> </td><td class="mdescRight">Sparsity parameter. <a href="#a9afee0f01482da62e7fb812103e809d0">More...</a><br /></td></tr>
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<tr class="memitem:a7cc85a163755fcdd9f7ab105ce5ee1a7"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a7cc85a163755fcdd9f7ab105ce5ee1a7">visibleSize</a></td></tr>
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<tr class="memdesc:a7cc85a163755fcdd9f7ab105ce5ee1a7"><td class="mdescLeft"> </td><td class="mdescRight">Size of the visible layer. <a href="#a7cc85a163755fcdd9f7ab105ce5ee1a7">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<div class="textblock"><p>This is a class for the sparse autoencoder objective function. </p>
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<p>It can be used to create learning models like self-taught learning, stacked autoencoders, conditional random fields (CRFs), and so forth. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00026">26</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
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<td class="memname">mlpack::nn::SparseAutoencoderFunction::SparseAutoencoderFunction </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<p>Construct the sparse autoencoder objective function with the given parameters. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">data</td><td>The data matrix. </td></tr>
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<tr><td class="paramname">visibleSize</td><td>Size of input vector expected at the visible layer. </td></tr>
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<tr><td class="paramname">hiddenSize</td><td>Size of input vector expected at the hidden layer. </td></tr>
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<tr><td class="paramname">lambda</td><td>L2-regularization parameter. </td></tr>
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<tr><td class="paramname">beta</td><td>KL divergence parameter. </td></tr>
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<h2 class="groupheader">Member Function Documentation</h2>
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<td class="memname">void mlpack::nn::SparseAutoencoderFunction::Beta </td>
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<p>Sets the KL divergence parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00124">124</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00159">beta</a>.</p>
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<td class="memname">double mlpack::nn::SparseAutoencoderFunction::Beta </td>
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<p>Gets the KL divergence parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00130">130</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00159">beta</a>.</p>
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<p>Evaluates the objective function of the sparse autoencoder model using the given parameters. </p>
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<p>The cost function has terms for the reconstruction error, regularization cost and the sparsity cost. The objective function takes a low value when the model is able to reconstruct the data well using weights which are low in value and when the average activations of neurons in the hidden layers agrees well with the sparsity parameter 'rho'.</p>
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<dl class="params"><dt>Parameters</dt><dd>
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<p>Return the initial point for the optimization. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00085">85</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00151">initialPoint</a>.</p>
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<td>(</td>
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<p>Evaluates the gradient values of the objective function given the current set of parameters. </p>
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<p>The function performs a feedforward pass and computes the error in reconstructing the data points. It then uses the backpropagation algorithm to compute the gradient values.</p>
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<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">parameters</td><td>Current values of the model parameters. </td></tr>
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<td class="memname">void mlpack::nn::SparseAutoencoderFunction::HiddenSize </td>
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<p>Sets size of the hidden layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00100">100</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Gets the size of the hidden layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00106">106</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00155">hiddenSize</a>.</p>
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<p>Initializes the parameters of the model to suitable values. </p>
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<p>Sets the L2-regularization parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00112">112</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00157">lambda</a>.</p>
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<p>Gets the L2-regularization parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00118">118</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00157">lambda</a>.</p>
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<p>Sets the sparsity parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00136">136</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00161">rho</a>.</p>
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<td class="memname">double mlpack::nn::SparseAutoencoderFunction::Rho </td>
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<td>(</td>
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<td> const</td>
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<p>Gets the sparsity parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00142">142</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00161">rho</a>.</p>
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<td class="memname">void mlpack::nn::SparseAutoencoderFunction::Sigmoid </td>
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<td>(</td>
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<td class="paramtype">const arma::mat & </td>
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<p>Returns the elementwise sigmoid of the passed matrix, where the sigmoid function of a real number 'x' is [1 / (1 + exp(-x))]. </p>
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<dl class="params"><dt>Parameters</dt><dd>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00079">79</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<td class="memname">void mlpack::nn::SparseAutoencoderFunction::VisibleSize </td>
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<p>Sets size of the visible layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00088">88</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<td class="memname">size_t mlpack::nn::SparseAutoencoderFunction::VisibleSize </td>
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<td>(</td>
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<p>Gets size of the visible layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00094">94</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>References <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00153">visibleSize</a>.</p>
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<h2 class="groupheader">Member Data Documentation</h2>
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<td class="memname">double mlpack::nn::SparseAutoencoderFunction::beta</td>
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<p>KL divergence parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00159">159</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00124">Beta()</a>.</p>
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<td class="memname">const arma::mat& mlpack::nn::SparseAutoencoderFunction::data</td>
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<p>The matrix of data points. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00149">149</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<td class="memname">size_t mlpack::nn::SparseAutoencoderFunction::hiddenSize</td>
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<p>Size of the hidden layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00155">155</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00106">HiddenSize()</a>.</p>
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<p>Initial parameter vector. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00151">151</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00085">GetInitialPoint()</a>.</p>
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<td class="memname">double mlpack::nn::SparseAutoencoderFunction::lambda</td>
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<p>L2-regularization parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00157">157</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00112">Lambda()</a>.</p>
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<td class="memname">double mlpack::nn::SparseAutoencoderFunction::rho</td>
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<p>Sparsity parameter. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00161">161</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00136">Rho()</a>.</p>
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<p>Size of the visible layer. </p>
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<p>Definition at line <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00153">153</a> of file <a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a>.</p>
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<p>Referenced by <a class="el" href="sparse__autoencoder__function_8hpp_source.html#l00094">VisibleSize()</a>.</p>
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<hr/>The documentation for this class was generated from the following file:<ul>
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<li>src/mlpack/methods/sparse_autoencoder/<a class="el" href="sparse__autoencoder__function_8hpp_source.html">sparse_autoencoder_function.hpp</a></li>
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